Nguyen Lich Thi, Sharma Ashish Ranjan, Chakraborty Chiranjib, Saibaba Balaji, Ahn Moo-Eob, Lee Sang-Soo
Institute for Skeletal Aging & Orthopedic Surgery, Hallym University-Chuncheon Sacred Heart Hospital, Chuncheon 24252, Korea.
Department of Bio-Informatics, School of Computer and Information Sciences, Galgotias University, Greater Noida 203201, India.
Int J Mol Sci. 2017 Mar 12;18(3):601. doi: 10.3390/ijms18030601.
Osteoarthritis (OA) is a degenerative disease of the joints and is one of the leading causes of disability in adults. However, there are no key therapeutics for OA and medical treatment is based on managing the symptoms and slowing down progression of the disease. Diagnostics based on clinical examination and radiography have provided little information about metabolic changes in joint tissues, disease onset and progression. Due to lack of effective methods for early detection and evaluation of treatment outcome, the measurement of biochemical markers (biomarkers) shows promise as a prospective method aiding in disease monitoring. OA biomarkers that are present in biological fluids such as blood, urine and synovial fluid, sources that are easily isolated from body, are of particular interest. Moreover, there are increasingly more studies identifying and developing new biomarkers for OA. In this review, efforts have been made to summarize the biomarkers that have been reported in recent studies on patients. We also tried to classify biomarkers according to tissue metabolism (bone, cartilage and synovial metabolism markers), pathological pathways (inflammatory and genetic markers) and biological function (chemokines, growth factors, acute phase proteins, etc.).
骨关节炎(OA)是一种关节退行性疾病,是成年人残疾的主要原因之一。然而,目前尚无针对OA的关键治疗方法,医学治疗主要基于控制症状和减缓疾病进展。基于临床检查和X线摄影的诊断方法,几乎没有提供关于关节组织代谢变化、疾病发作和进展的信息。由于缺乏早期检测和评估治疗效果的有效方法,生化标志物(生物标志物)的检测有望成为一种有助于疾病监测的前瞻性方法。存在于血液、尿液和滑液等生物体液中的OA生物标志物,这些生物体液很容易从体内分离,尤其受到关注。此外,越来越多的研究正在鉴定和开发新的OA生物标志物。在这篇综述中,我们努力总结了近期患者研究中报道的生物标志物。我们还尝试根据组织代谢(骨、软骨和滑膜代谢标志物)、病理途径(炎症和遗传标志物)和生物学功能(趋化因子、生长因子、急性期蛋白等)对生物标志物进行分类。